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TY - GEN ID - cogprints1772 UR - http://cogprints.org/1772/ A1 - Edmonds, Bruce Y1 - 2001/// N2 - Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different �species� of solution develop to exploit different �niches� of the problem � indicating exploitable solutions. It is argued that for context to be fully learnable a further step of abstraction is necessary. Such contexts abstracted from clusters of solution/model domains make sense of the problem of how to identify when it is the content of a model is wrong and when it is the context. Some principles of learning to identify useful contexts are proposed. PB - Springer-verlag KW - learning KW - conditions of application KW - context KW - evolutionary computing KW - error TI - Learning Appropriate Contexts SP - 143 AV - public EP - 155 ER -